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Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

arXiv 2106.14885 ↗First posted 28 Jun 2021cs.CL cs.AI cs.IRcited by 19

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Abstract (arXiv)

Advancing the state-of-the-art in large-scale biomedical semantic indexing and question answering is the main focus of the BioASQ challenge. BioASQ organizes respective tasks where different teams develop systems that are evaluated on the same benchmark datasets that represent the real information needs of experts in the biomedical domain. This paper presents an overview of the ninth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2021. In this year, a new question answering task, named Synergy, is introduced to support researchers studying the COVID-19 disease and measure the ability of the participating teams to discern information while the problem is still developing. In total, 42 teams with more than 170 systems were registered to participate in the four tasks of the challenge. The evaluation results, similarly to previous years, show a performance gain against the baselines which indicates the continuous improvement of the state-of-the-art in this field.

Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). Builds on 8 of its 48 references that are in the map. First posted on arXiv 28 Jun 2021.

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8 of 48 references.

References · 8

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  2. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
  3. 2020CORD-19: The COVID-19 Open Research Datasetcited by 180
  4. 2018AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classificationcited by 102
  5. 2013Evaluation Measures for Hierarchical Classification: a unified view and novel approachescited by 46
  6. 2021Sequence tagging for biomedical extractive question answeringcited by 12
  7. 2020Query Focused Multi-document Summarisation of Biomedical Textscited by 8
  8. 2021The growth of COVID-19 scientific literature: A forecast analysis of different daily time series in specific settingscited by 1

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Citing papers per year: 2022: 6; 2023: 6; 2024: 3; 2025: 3; 2026: 1.

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  1. 2022Galactica: A Large Language Model for Sciencecited by 744
  2. 2023A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethicscited by 163
  3. 2024Characterizing LLM Abstention Behavior in Science QA with Context Perturbationscited by 26
  4. 2022Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Settingcited by 23
  5. 2023An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Textcited by 23
  6. 2023LIQUID: A Framework for List Question Answering Dataset Generationcited by 19
  7. 2023Overview of BioASQ 2023: The eleventh BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 18
  8. 2022A Survey on Medical Document Summarizationcited by 14
  9. 2025Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 11
  10. 2022Overview of BioASQ 2022: The tenth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 9
  11. 2023Explanatory Argument Extraction of Correct Answers in Resident Medical Examscited by 6
  12. 2025Overview of BioASQ 2024: The twelfth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 4
7 more
  1. 2022BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Taskcited by 3
  2. 2023Retrieval-augmented Multi-label Text Classificationcited by 3
  3. 2022Predicting Intervention Approval in Clinical Trials through Multi-Document Summarizationcited by 0
  4. 2024Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencoderscited by 0
  5. 2024NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answeringcited by 0
  6. 2025Mirror, Mirror on the Wall -- Which is the Best Model of Them All?cited by 0
  7. 2026Overview of BioASQ 2026: The fourteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 0